Design of a Compact Broadband Vector Network Analyzer to Diagnose a Semiconductor Process Chamber

This article presents a compact broadband vector network analyzer (VNA) designed for the cost-effective diagnosis of semiconductor process chambers operating in the frequency range of 3–13.6 GHz. The proposed system, optimized for compactness, comprises various monolithic microwave-integrated circuits (MMICs) under the digital control of a microcontroller unit (MCU). By employing a gain/phase detector, the disparity between the reference signal (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$P_{a}$ </tex-math></inline-formula>) and the reflected signal (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$P_{b}$ </tex-math></inline-formula>) can be efficiently measured through analog signal paths, resulting in a short measurement time. A comprehensive link budget analysis of each signal path, encompassing the transmitter, local oscillator (LO) path, and receiver, informed the design and implementation of the proposed system. Utilizing the implemented VNA, the broadband <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$S_{11}$ </tex-math></inline-formula> parameters of a designed test bed chamber were measured under both normal and abnormal conditions. Applying a similarity algorithm such as Euclidean distance, differences in <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$S_{11}$ </tex-math></inline-formula> between normal and abnormal conditions were analyzed according to frequency, providing a diagnostic tool for assessing the condition of the process chamber.

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Publication Details

Journal
IEEE Transactions on Instrumentation and Measurement
Published
2024-11-20
DOI
https://doi.org/10.1109/tim.2024.3502828
Citations
1
Primary Topic
Electromagnetic Compatibility and Noise Suppression
Type
article
Field-Weighted Citation Impact
0.21
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article

Design of a Compact Broadband Vector Network Analyzer to Diagnose a Semiconductor Process Chamber

Jeong-Wook Kim, Sang-Won Lee, Seong‐Jin Kim, Hanam Kim et al.
1 citations
IEEE Transactions on Instrumentation and Measurement
Electromagnetic Compatibility and Noise Suppression
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article

Design of a Compact Broadband Vector Network Analyzer to Diagnose a Semiconductor Process Chamber

Jeong-Wook Kim, Sang-Won Lee, Seong‐Jin Kim, Hanam Kim, Jong‐Won Yu, Hyun-Gang Jung
article en
1 citations

Abstract

This article presents a compact broadband vector network analyzer (VNA) designed for the cost-effective diagnosis of semiconductor process chambers operating in the frequency range of 3–13.6 GHz. The proposed system, optimized for compactness, comprises various monolithic microwave-integrated circuits (MMICs) under the digital control of a microcontroller unit (MCU). By employing a gain/phase detector, the disparity between the reference signal (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$P_{a}$ </tex-math></inline-formula>) and the reflected signal (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$P_{b}$ </tex-math></inline-formula>) can be efficiently measured through analog signal paths, resulting in a short measurement time. A comprehensive link budget analysis of each signal path, encompassing the transmitter, local oscillator (LO) path, and receiver, informed the design and implementation of the proposed system. Utilizing the implemented VNA, the broadband <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$S_{11}$ </tex-math></inline-formula> parameters of a designed test bed chamber were measured under both normal and abnormal conditions. Applying a similarity algorithm such as Euclidean distance, differences in <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$S_{11}$ </tex-math></inline-formula> between normal and abnormal conditions were analyzed according to frequency, providing a diagnostic tool for assessing the condition of the process chamber.

IEEE Transactions on Instrumentation and MeasurementVol. 74
Korea Advanced Institute of Science and Technology (KR), Ajou University (KR)
Openalex Percentile: Top 46%
Electromagnetic Compatibility and Noise Suppression
0.21
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